Classification Dataset
Versions
v1
2024-09-05 8:59am
Generated on Sep 5, 2024
425 Total Images
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Dataset Split
Train Set 88%
372Images
Valid Set 8%
36Images
Test Set 4%
17Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 24% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -32% and +32%
Exposure: Between -11% and +11%
Blur: Up to 4px
Noise: Up to 1.6% of pixels